Token Engineering

SLMs Beat GPT-4o: How AI Is Being Used in Hiring with Fletcher Wimbush, CEO of Discovered AI

Token Engineering

Show Notes

In this episode of Inference Time Tactics, Cooper sits down with Fletcher Wimbush, CEO of Discovered AI, to get into what’s actually broken about hiring—and how 13 years of bootstrapped recruiting, 10,000 interviews, and four peer-reviewed journal articles became the foundation for a platform now outperforming its biggest competitors. With hundreds of applicants flooding every open role and general AI tools hitting the ceiling at 70-80% resume screening accuracy, Discovered is combining behavioral science with fine-tuned small language models to get hiring right the first time.

We talked about:

The hidden cost of over-relying on qualifications over attitude and integrity—and why Warren Buffett says a smart person with low integrity is your biggest threat. How 10,000 interviews and four peer-reviewed journal articles with Bowling Green State University gave Discovered’s hiring system its scientific backbone. Fine-tuned small language models hitting 98.5% accuracy on resume screening where GPT-4o topped out at 70-80%—at a fraction of the cost. What’s coming next on the Discovered roadmap: smarter resume database search, AI-powered parsing, and an AI interviewer built to ask the right follow-up questions.

Connect with Discovered AI:Website: https://discovered.ai LinkedIn: https://www.linkedin.com/in/fletcher-wimbush Email: [email protected]

Connect with Neurometric:Website: https://www.neurometric.ai/ Substack: https://neurometric.substack.com/ X: https://x.com/neurometricai/ Bluesky: https://bsky.app/profile/neurometric.bsky.social

Hosts: Calvin Cooper https://x.com/cooper_nyc_ https://www.linkedin.com/in/coopernyc

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